Revenue Operations, Inference Lead

Mistral
New York, San Francisco
Full timeFunction: Revenue Operations (RevOps)Skills: ["Cross-functional leadership","Influencing without direct authority","Operating with incomplete data","Data modeling","Strategic thinking"]

Build and own inference demand forecasting, capacity/supply visibility, and margin sensitivity models to guide what the business sells, at what price, and the resulting revenue. Develop Inference commercial telemetry and self-serve reporting connecting usage, pipeline, contracts, pricing, and revenue. Lead core RevOps for territory and ICP, partnering across Sales, Data Science, Inference Infrastructure, Finance, and Product to align on demand, capacity, and economics.

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FursaFursa
Mistral
Mistral
11 hours ago

Revenue Operations, Inference Lead

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Last checked: 11 hours agoStatus: Live

Job Summary

Build and own inference demand forecasting, capacity/supply visibility, and margin sensitivity models to guide what the business sells, at what price, and the resulting revenue. Develop Inference commercial telemetry and self-serve reporting connecting usage, pipeline, contracts, pricing, and revenue. Lead core RevOps for territory and ICP, partnering across Sales, Data Science, Inference Infrastructure, Finance, and Product to align on demand, capacity, and economics.
Location: New York, San Francisco
Employment Type: Full time
Job Function: Revenue Operations (RevOps)
Seniority: Mid level

Key Responsibilities

  • •Build and own end-to-end inference demand forecasting combining pipeline, contracted commitments, and consumption trends.
  • •Combine capacity and demand signals to identify what is available to sell, surface shortages/unused capacity, and prioritize opportunities by revenue, margin, fit, timing, and strategic value.
  • •Publish supply and recommended pricing updates to GTM and Finance, and work with Finance and Pricing to build rate cards, price floors, and discount guardrails.
  • •Build and own commercial telemetry for Inference (usage, consumption patterns, expansion/churn signals) and connect it with pipeline, contracts, pricing, and revenue for self-serve reporting.
  • •Own core RevOps for territory/ICP definition, data-driven targeting, pipeline management, forecasting, and compensation plan design for the Inference and Digital Native segment.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocation SupportWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

  • •Experience in revenue operations, business operations, strategic finance, or investment banking in variable-cost businesses (e.g., cloud infrastructure, compute, telco, logistics); pure SaaS RevOps alone is not sufficient.
  • •Strong SQL skills and ability to build data models end-to-end from raw tables to dashboards without relying on a dedicated data team.
  • •Ability to build unit economics and margin models that other teams trust and use.
  • •Technical fluency to discuss GPUs, utilization, serving efficiency, and capacity with infrastructure engineers, or demonstrated ability to get there quickly.
  • •Comfort operating with incomplete data, shipping a rough answer quickly, and leading cross-functionally without direct authority.
Experience:Cloud infrastructureComputeTelcoLogisticsInference market
Skills:Cross-functional leadershipInfluencing without direct authorityOperating with incomplete dataData modelingStrategic thinking
Tech Stack:SQLSalesforceBigQueryMetabaseGPUs

Company Brief

Mistral
Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2023
WebsiteLinkedIn